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Most organizations are experimenting with AI, but far fewer are operationally ready for it.
This benchmark explores how enterprises are moving beyond isolated CMDBs and disconnected operational data toward context-enabled environments that support AI agents, automation, operational intelligence, and decision-making at scale.
AI initiatives often struggle because the operational context behind them is fragmented, incomplete, or difficult to trust.
Organizations are increasingly facing challenges such as:
At the same time, leading organizations are building richer context ecosystems by combining CMDBs, service relationships, operational telemetry, business data, and graph-enabled structures.
This benchmark aims to understand where enterprises truly stand today.
How organizations are evolving from traditional CMDB-centric approaches toward richer context and graph-enabled environments.
Focus areas include:
Whether richer operational context improves operational performance and
business outcomes.
Areas explored include:
The operational and organizational blockers preventing AI readiness.
Areas explored include:
This benchmark is designed for professionals across enterprise operations, architecture, automation, and governance, including:
Participants will gain access to:
We are currently inviting selected enterprise participants to contribute to the research. If your organization is exploring AI operations, CMDB modernization, context-layer architectures, or AI-enabled automation, we would love to hear from you
Einar & Partners research unit investigates the AIOps industry and market from multiple perspectives. Thanks to our network of research contributors, industry-experts and partners we measure the data that makes the difference in AIOps projects.
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